| import torch._C._lazy | |
| import torch._C._lazy_ts_backend | |
| def get_tensors_ts_device_data_node(tensors): | |
| """Return tensor ids and eager tensors for DeviceData nodes in the | |
| IR for the passed in lazy tensors. | |
| TODO: This API is currently ts backend specific. We are working on | |
| generalizing it to all backends including XLA. | |
| """ | |
| return torch._C._lazy_ts_backend._get_tensors_ts_device_data_node(tensors) | |
| def get_graph_hash(tensors): | |
| """Return the graph hash for the passed in lazy tensors""" | |
| return torch._C._lazy._get_graph_hash(tensors) | |
| def run_cached_graph(hash_str, graph_inputs): | |
| """Running the cached computation graph with the given inputs | |
| TODO: This API is currently ts backend specific. We are working on | |
| generalizing it to all backends including XLA. | |
| """ | |
| return torch._C._lazy_ts_backend._run_cached_graph(hash_str, graph_inputs) | |